def evaluate_i(self, static, dynamic, local):
current = [{}]
for construct in self.constructs:
current = construct.generate(static, dynamic, local, current)
return utils.flatten(
[self.return_expr.evaluate(static, dynamic, local.new(set_map=var_set)) for var_set in current]
)
def get_for_indexer(self, value):
if value.get_size() == 1:
single = value.get_item(0)
if isinstance(single, Number):
number = single[0].get_as_int()
if number >= 0 and number < self.get_size():
return StandardSequence([self.get_item(number)])
else:
return StandardSequence([])
return utils.flatten([self.get_item(i).get_for_indexer(value) for i in xrange(self.get_size())])
def evaluate_i(self, static, dynamic, local):
sequence = self.left.evaluate(static, dynamic, local)
# TODO: need to change this to take into account if the above sequence
# is synthetic, and if so, avoid stuffing all the items into a list
sequence_size = sequence.get_size()
results = [None for s in xrange(sequence_size)]
for i in xrange(sequence_size):
item = sequence.get_item(i)
new_dynamic = dynamic.new(context_size=sequence_size, context_item=item, context_position=i + 1)
results[i] = self.right.evaluate(static, new_dynamic, local)
return utils.flatten(results)
def get_for_pair_indexer(self, value):
return utils.flatten([self.get_item(i).get_for_pair_indexer(value) for i in xrange(self.get_size())])
def get_for_pair_pattern(self, pattern):
return utils.flatten([self.get_item(i).get_for_pair_pattern(pattern) for i in xrange(self.get_size())])
def evaluate_i(self, static, dynamic, local):
return utils.flatten([p.evaluate(static, dynamic, local) for p in self.exprs])
